[ES_JOBS_NET] Two postdoc positions in Canada (open to start immediately)

[Oliver Sonnentag]

Hi, we are looking for highly motivated individuals to fill *two postdoc
positions* (Université de Montréal [UdeM]). Working as part of a larger
team including university, government scientists and Indigenous partners,
the three individuals will work on different aspects of a recently funded
project aiming to shed light on how tall shrub encroachment affects tundra
vegetation composition, structure and diversity, and associated
surface-atmosphere interactions across scales. Funded through the Institute
for Data Valorisation (IVADO) and ArcticNet, the two-year positions are
primarily based in Montréal, Québec with regular research visits to Wilfrid
Laurier University (WLU) in Waterloo, ON and Trail Valley Creek (TVC) near
Inuvik, NT:



https://www.wlu.ca/academics/research/partnerships/gnwt/research-sites/trail-valley-creek.html



Montréal is home to several research-intensive universities and research
clusters, including a vibrant artificial intelligence community centered on
Mila - Quebec AI Institute. Collectively, these world-renowned institutions
provide ample career development and collaboration opportunities. A
competitive salary for the postdoc positions is based on the candidate’s
experience.



*Postdoc_1: Land surface-atmosphere interactions. *Based at UdeM, postdoc_1
will process, analyze and upscale flux measurements collected at the TVC
Research Station. The “nested”. Arctic flux set-up includes three eddy
covariance towers and an automated chamber system: a 20-m landscape tower >
two 5-m ecosystem towers > 18 automated chambers (see some footage here:
https://www.dropbox.com/sh/q7pmdw8s83gh0lq/AADUm4MYyP2lIhVFYFL5M7CEa?dl=0)



*Postdoc_2: High-resolution image classification. *Based at UdeM and WLU,
postdoc_2 will collect ultra-high resolution unmanned-aerial vehicle
imagery over the terrestrial-aquatic Artic landscape to identify and
measure individual plants and map plant communities and land cover using
deep learning methods.



*Ideal applicants for the two postdoc positions have *

1)    a strong quantitative background obtained through a PhD in ecology,
environmental science, computer science, Earth system science, etc.,

2)    in at least some aspects of the project (e.g., micrometeorology, deep
learning, image classification),

3)    the ability to work independently and effectively as part of a team
setting consisting of university, government, and Indigenous researchers,
and

4)    excellent written and oral communication skills in English, and

5)    a track record of timely completion of projects and publications.



Please email questions regarding the positions and application packages
consisting of cover letter, curriculum vitae, an English writing sample
(ideally a publication), copies of academic credentials, and names and
contact information of at least two referees to:

oliver.sonnentag *at* umontreal.ca (postdoc_1)

jbaltzer *at* wlu.ca (postdoc_2)

etienne.laliberte *at* umontreal.ca (postdoc_2)

The review of applications will commence immediately until the positions
are filled.


Sorry for cross-posting. Please let me know if you have any questions.

Regards, Oliver


Professeur agrégé Oliver Sonnentag, PhD

Chaire de recherche du Canada en *Biogéosciences atmosphériques en hautes
latitudes*

Département de géographie

Université de Montréal

1375 Avenue Thérèse-Lavoie-Roux

Montréal, QC H2V 0B3

Canada


https://atmosbios.com
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